- QUOTA
- SOURCES
- LOGS
- ACTION
Short answer
How can I check my Databox usage with AI?
Your AI uses the Databox MCP to pull your account details and data source lists. You can then ask it to identify which sources are consuming the most storage or where your API activity is concentrated. This gives you a clear view of your current limits and usage patterns.
Usage monitoring outcomes
Where your data status lands.
What you get when you run these tasks.
QUOTA
Storage limit checks
The AI pulls your account data to show how much storage you have left. You'll see exactly where you stand against your plan limits.
SOURCES
Data source audits
Your agent lists every connected data source. This helps you spot unused connections that might be eating up your quota.
LOGS
API activity reviews
The AI examines your connection logs. You'll get a summary of how your data is being pulled and where the heavy lifting happens.
ACTION
Human-led cleanup
The AI identifies the problematic sources. You then decide which connections to delete or modify in the Databox dashboard.
The workflow
What your AI does when the request arrives.
The AI acts as a bridge between your chat interface and your Databox account.
Identify accounts
The AI looks up your Databox account details to establish your current usage context.
list_accountsScan data sources
It pulls a full list of everything feeding data into your Databox instance.
list_data_sourcesAnalyze usage
The AI compares your data source count against your account limits to find bottlenecks.
list_accountslist_data_sourcesReport findings
Your agent presents a plain English summary of your storage and API status.
list_accounts
Try it
Copy these to start.
Use these prompts to begin your audit.
Starting points
These are basic starting lines. Swap out the specific account names or source types to match your setup.
Databox Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_m5wxPLxA4DZzlEAGQvVBd7mHBeJdKwSaNPtHchcU/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Databox capabilities are ready to use.
{
"mcpServers": {
"databox-mcp": {
"url": "https://edge.vinkius.com/vk_preview_m5wxPLxA4DZzlEAGQvVBd7mHBeJdKwSaNPtHchcU/mcp"
}
}
}List all my Databox accounts and show me my current storage usage.
Which of my Databox data sources are currently active?
Check my account limits and tell me if I'm close to my data source cap.
Summarize my Databox account status and list all connected sources.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Databox once, then ask.
One quick connection links your Databox account to your AI client. Your credentials stay encrypted and secure on our side.
Connect Databox to your AIFAQ
How this task behaves
- 01
Can the AI delete my Databox data sources?
No. The AI can only list your accounts and data sources. You must manually delete or change sources in Databox.
- 02
Can the AI change my Databox subscription plan?
No. The AI can read your account details, but it cannot modify your billing or subscription settings.
- 03
Does the AI see my actual data values?
No. The AI only sees account metadata and the list of data sources, not the specific numbers inside your dashboards.
- 04
How often does the AI check my usage?
The AI only checks your usage when you specifically ask it to via a prompt.
- 05
Can I use this with any AI client?
Yes, you can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.
More questions about Databox? See everything the Databox Connector can do
Connect Databox to Claude, Cursor, ChatGPT & more
